CN115211386B - Livestock health monitoring method and device, storage medium and electronic equipment - Google Patents
Livestock health monitoring method and device, storage medium and electronic equipment Download PDFInfo
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- 244000144972 livestock Species 0.000 title claims abstract description 411
- 230000036541 health Effects 0.000 title claims abstract description 191
- 238000012544 monitoring process Methods 0.000 title claims abstract description 64
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- 238000009395 breeding Methods 0.000 description 8
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- A01K—ANIMAL HUSBANDRY; AVICULTURE; APICULTURE; PISCICULTURE; FISHING; REARING OR BREEDING ANIMALS, NOT OTHERWISE PROVIDED FOR; NEW BREEDS OF ANIMALS
- A01K29/00—Other apparatus for animal husbandry
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Abstract
The application discloses a livestock health monitoring method, a device, a storage medium and electronic equipment. The method comprises the following steps: determining target livestock to be monitored; determining a heating temperature threshold of the target livestock according to historical temperature data of the target livestock in a plurality of historical health time periods; determining a total movement threshold of the target livestock according to historical movement data of the target livestock in a plurality of historical health time periods; acquiring the temperature of the target livestock and the total movement amount in the current time period; and determining that the target livestock is in an unhealthy state when the temperature of the target livestock is greater than the heating temperature threshold and/or the total amount of movement in the current time period is less than the total amount of movement threshold. According to the embodiment of the application, whether the livestock is healthy or not can be judged by comparing the current temperature with the heating temperature threshold value of the livestock and comparing the total movement amount of the current time period with the total movement amount threshold value of the livestock, so that the health state of the livestock can be monitored in real time.
Description
Technical Field
The application relates to the technical field of livestock breeding, in particular to a method and a device for monitoring livestock health, a storage medium and electronic equipment.
Background
In China, the livestock breeding industry has become an industry with very high economic benefit, and the high efficiency of the livestock breeding industry makes the livestock breeding industry an indispensable component of modern agriculture. With the annual increase of meat consumption proportion, livestock breeding is also changed from scattered households to large-scale, intensive and intelligent breeding. The livestock in the large-scale farm has huge number, is easy to outbreak large-area pathogen infection and disease transmission, and has higher potential food safety hazard.
Therefore, in the process of breeding livestock, in order to ensure the health of the livestock, the health condition of the livestock needs to be monitored.
Disclosure of Invention
The embodiment of the application provides a method and a device for monitoring livestock health, a storage medium and electronic equipment, which can monitor the health condition of livestock.
In a first aspect, an embodiment of the present application provides a method for monitoring livestock health, including:
determining target livestock to be monitored;
determining a heating temperature threshold of the target livestock according to historical temperature data of the target livestock in a plurality of historical health time periods;
Determining a total amount of motion threshold for the target animal based on historical motion data of the target animal over the plurality of historical health periods;
acquiring the temperature of the target livestock and the total movement amount in the current time period;
And when the temperature of the target livestock is greater than the heating temperature threshold value and/or the total movement amount in the current time period is less than the total movement amount threshold value, determining that the target livestock is in an unhealthy state.
In a second aspect, an embodiment of the present application provides a livestock health monitoring apparatus, including:
The first determining module is used for determining target livestock to be monitored;
A second determining module for determining a heating temperature threshold of the target livestock according to historical temperature data of the target livestock in a plurality of historical health time periods;
A third determining module for determining a total amount of motion threshold of the target livestock based on historical motion data of the target livestock over the plurality of historical health periods;
The acquisition module is used for acquiring the temperature of the target livestock and the total movement amount in the current time period;
And a fourth determining module, configured to determine that the target livestock is in an unhealthy state when the temperature of the target livestock is greater than the heating temperature threshold and/or the total amount of motion in the current time period is less than the total amount of motion threshold.
In a third aspect, an embodiment of the present application provides a storage medium having stored thereon a computer program which, when executed on a computer, causes the computer to perform the flow in the method provided by the embodiment of the present application.
In a fourth aspect, an embodiment of the present application further provides an electronic device, including a memory and a processor, where the memory stores a computer program, and the processor is configured to execute a flow in the method provided by the embodiment of the present application by calling the computer program stored in the memory.
In the embodiment of the application, firstly, the target livestock to be monitored is determined; determining a heating temperature threshold of the target livestock according to historical temperature data of the target livestock in a plurality of historical health time periods; determining a total amount of motion threshold for the target animal based on historical motion data of the target animal over the plurality of historical health periods; then acquiring the temperature of the target livestock and the total movement amount in the current time period; and when the temperature of the target livestock is greater than the heating temperature threshold value and/or the total movement amount in the current time period is less than the total movement amount threshold value, determining that the target livestock is in an unhealthy state. According to the embodiment of the application, the heating temperature threshold value and the total movement amount threshold value of the livestock are obtained according to the historical data of the livestock individuals, and whether the livestock are healthy or not can be judged by comparing the current temperature with the heating temperature threshold value of the livestock and comparing the total movement amount of the current time period with the total movement amount threshold value of the livestock, so that the health state of the livestock can be monitored in real time.
Drawings
The technical solution of the present application and its advantageous effects will be made apparent by the following detailed description of the specific embodiments of the present application with reference to the accompanying drawings.
Fig. 1 is a schematic view of a scenario of a livestock health monitoring method according to an embodiment of the present application.
Fig. 2 is a schematic diagram of a first flow of a method for monitoring livestock health according to an embodiment of the present application.
Fig. 3 is a schematic diagram of a second flow chart of a livestock health monitoring method according to an embodiment of the present application.
Fig. 4 is a graph of temperature probability distribution of an ear tag according to an embodiment of the present application.
FIG. 5 is a scatter plot of total motion data provided by an embodiment of the present application.
Fig. 6 is a schematic diagram of a first structure of a livestock health monitoring apparatus according to an embodiment of the present application.
Fig. 7 is a schematic diagram of a second structure of the livestock health monitoring apparatus according to the embodiment of the present application.
Fig. 8 is a schematic diagram of a first structure of an electronic device according to an embodiment of the present application.
Fig. 9 is a schematic diagram of a second structure of an electronic device according to an embodiment of the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application. It will be apparent that the described embodiments are only some, but not all, embodiments of the application. Based on the embodiments of the present application, those skilled in the art could obtain embodiments without any inventive effort, which fall within the scope of the present application.
The terms first, second, third and the like in the description and in the claims and in the above drawings, if any, are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It will be appreciated that the objects so described may be interchanged where appropriate. Furthermore, the terms "comprise" and "have," as well as any variations thereof, are intended to cover a non-exclusive inclusion. For example, a process, method, or apparatus, terminal, system comprising a series of steps is not necessarily limited to those steps or modules and units explicitly listed and may include steps or modules or units not explicitly listed or may include other steps or modules or units inherent to such process, method, apparatus, terminal, or system.
Referring to fig. 1, fig. 1 is a schematic view of a scenario of a livestock health monitoring method according to an embodiment of the present application.
The scene may include the target livestock 100, the data acquisition device 200, the electronic device 400, and the user 500.
In the livestock breeding industry, in order to know the health condition of livestock groups in time, users often need to personally observe the health condition of the livestock groups. Livestock personnel need to enter the pen to perform health checks on the livestock, such as measuring the temperature of the livestock. Not only is the environment messy, but also for large-scale farms with large numbers of livestock, it is quite inefficient to check the health status of the livestock individually.
In the present application, the target livestock 100 may be any one of livestock in a livestock group. The target livestock 100 is provided with a data acquisition device 200, which data acquisition device 200 is used for acquiring relevant data of the target livestock 100, for example, the data acquisition device 200 can be an ear tag used for acquiring temperature data of the target livestock 100, and for example, the data acquisition device 200 can be a motion sensor used for acquiring motion data of the target livestock 100. The data acquisition device 200 and the electronic equipment 400 are pre-established with a communication connection, and the electronic equipment can receive the temperature data and the movement data acquired by the data acquisition device 200, display the data on a screen and feed back the data to the user so as to reflect the health condition of the target livestock 100.
The electronic device 400 may be a computer device, which may be a terminal device such as a smart phone, a tablet computer, a personal computer, or a server. The electronic device 400 may also establish a communication connection with other internet devices, such as a mobile phone, a computer, etc. of a breeder or other related personnel, so that the collected temperature data and motion data and the comparison result of the collected temperature data and the motion data with the heating temperature threshold and the motion total threshold may be sent to the mobile phone, the computer, etc. of the breeder or other related personnel, and the health status of the target livestock 100 may be reported in real time. By monitoring the health condition of the target livestock 100 in real time, farmers can decide whether to enter the fence to check the target livestock 100 and treat unhealthy target livestock 100 according to the health condition of the target livestock 100, so that the quality of agricultural products and agricultural and sideline products is not affected, and disease transmission is also facilitated to be controlled. The livestock health monitoring method provided by the embodiment of the application is a non-contact health monitoring method, can automatically monitor vital signs of livestock and early warn the health condition of the livestock in real time, can save a lot of manpower and material resources, and solves the problem of cultivation pain spots faced by users for a long time.
Referring to fig. 2, fig. 2 is a schematic flow chart of a method for monitoring livestock health according to an embodiment of the application, where the method for monitoring livestock health may include:
101. and determining the target livestock to be monitored.
Wherein the livestock can be horse, cattle, pig, chicken, duck, etc. Since the health of livestock affects the quality of the output of agricultural and agricultural products, it is necessary to monitor the health of livestock. The target livestock is the livestock determined as the monitoring object, the application does not limit the selection of the target livestock, and the target livestock can be any livestock in livestock groups.
102. A heat-emitting temperature threshold of the target animal is determined from historical temperature data of the target animal over a plurality of historical health periods.
In order to monitor the health status of the target livestock, a judgment reference for whether the target livestock is healthy or not needs to be set.
In the embodiment of the application, the health state of the target livestock is judged from two aspects of temperature and total sports amount. To this end, historical temperature data of the target livestock over a plurality of historical health periods is acquired to determine a heating temperature threshold of the target livestock; historical movement data of the target animal over a plurality of historical health time periods is obtained to determine a total movement threshold of the target animal.
The historical health time period refers to a historical time period when the target livestock is in a health state, and a heating temperature threshold and a total movement threshold determined according to the historical data of the target livestock in the health state can be used as two references to help judge the current health condition of the target livestock.
Historical temperature data of the target livestock can be collected through ear tags. And each livestock in the livestock group is worn with an ear tag for acquiring temperature data, and after the target livestock to be monitored is determined, the ear tag temperature of the target livestock is recorded in a plurality of historical health time periods to obtain the historical temperature data of the target livestock.
In an embodiment, determining the heat-emitting temperature threshold of the target animal based on historical temperature data of the target animal over a plurality of historical health periods may include:
(1) Collecting the ear tag temperature of the target livestock for multiple times in each historical health time period;
(2) Drawing a temperature probability distribution map according to the collected ear tag temperatures in a plurality of historical health time periods;
(3) Determining the highest ear tag temperature of the target livestock in a plurality of historical health time periods according to the temperature probability distribution map;
(4) The highest ear tag temperature is determined as the heat generation temperature threshold.
Wherein, when the duration of the historical health period is one natural day, the historical health period may also be referred to as a health day. For example, if the target livestock is healthy from yesterday to the last week, the ear tag temperatures of the target livestock from yesterday to the last week may be acquired multiple times per health day, resulting in multiple ear tag temperatures, which are plotted as a temperature probability distribution map.
According to the temperature probability distribution map, the highest ear tag temperature which can be reached by the target livestock in the healthy days of the past week can be determined, and the highest ear tag temperature is determined as the heating temperature threshold value. The heating temperature threshold is used as a temperature judgment reference for judging the health state of the target livestock in terms of temperature.
103. Determining a total movement threshold of the target livestock according to historical movement data of the target livestock in a plurality of historical health time periods;
Historical motion data of livestock can be collected by motion sensors. And each livestock in the livestock group is worn with a motion sensor for collecting motion data, and after the target livestock to be monitored is determined, the initial position of the target livestock in the historical time period is taken as the origin of coordinates, so that a three-dimensional space rectangular coordinate system is established. When historical motion data is acquired, displacement |x|, |y|, |z| of the target livestock in three space directions x, y and z relative to the last acquisition is recorded, so that total motion data of the target livestock relative to the last acquisition can be calculated.
In an embodiment, the current time period is a movement time period, each historical health time period includes a plurality of movement time periods with the same number, the duration of all movement time periods is the same, and determining the movement total amount threshold of the target livestock according to the historical movement data of the target livestock in the plurality of historical health time periods includes:
(1) Collecting exercise total amount data of the target livestock in each exercise time period of each historical health time period;
(2) And determining the movement total quantity threshold value of the target livestock according to the movement total quantity data of the target livestock in each movement time period of each historical health time period.
Each historical health period may be a health day, and multiple exercise periods may be included in each health day. Since livestock eat approximately 2-3 times a day, each eating period produces a certain amount of exercise, the exercise period for each health day can be set according to the eating period. For example, 6:00-9:00 per day is set to a first exercise period, 11:00-14:00 is set to a second exercise period, and 16:00-19:00 is set to a third exercise period. And respectively acquiring the total sports amount of the target livestock in the range of 6:00-9:00, the total sports amount of the target livestock in the range of 11:00-14:00 and the total sports amount of the target livestock in the range of 16:00-19:00 in each health day to obtain three total sports amount data corresponding to a single sports time period, and obtaining 3N total sports amount data in N health days.
In an embodiment, the 3N total amount of motion data are arranged from small to large, the total amount of motion data of a preset proportion is obtained, and then the maximum total amount of motion data in the total amount of motion data of the preset proportion is determined as a total amount of motion threshold. For example, the preset ratio may be 5%, and the total amount of motion threshold may be a maximum value in the total amount of motion data from small to large 5% of the 3N total amount of motion data.
104. Acquiring the temperature of the target livestock and the total movement amount in the current time period;
to monitor the health status of the target livestock, on the one hand, the temperature of the target livestock is obtained, and on the other hand, the total amount of movement of the target livestock in the current time period is obtained.
The method for obtaining the temperature of the target livestock and the total amount of exercise in the current time period can refer to the related description of the historical temperature data and the historical exercise data obtained in the steps 102 and 103, which are not described herein.
When the temperature of the target livestock is obtained, a real-time obtaining mode is adopted, namely the temperature of the target livestock is obtained at any time. When the total movement amount of the target livestock is acquired, a periodic polling mode is adopted, namely, firstly, the movement time period to which the current moment belongs is determined, and then, the total movement amount of the target livestock in the movement time period is acquired.
105. And determining that the target livestock is in an unhealthy state when the temperature of the target livestock is greater than the heating temperature threshold and/or the total amount of movement in the current time period is less than the total amount of movement threshold.
After each time the temperature of the target livestock is obtained, the temperature of the target livestock is compared with a heating temperature threshold value to determine whether the temperature of the target livestock is abnormal. And when the temperature of the target livestock is greater than the heating threshold temperature, determining that the target livestock is in an unhealthy state.
After the total movement amount of the target livestock in the current time period is obtained each time, the total movement amount of the target livestock in the current time period is compared with a total movement amount threshold value so as to determine whether the total movement amount of the target livestock is abnormal. And when the total movement amount of the target livestock in the current time period is smaller than the total movement amount threshold value, determining that the target livestock is in an unhealthy state.
It should be noted that, when the "temperature is greater than the heating temperature threshold" and the "total amount of movement is less than the total amount of movement threshold" in the current period satisfy at least one, it may be determined that the target livestock is in an unhealthy state, that is, the two determination conditions may exist in an "and/or" manner, so that the healthy state of the target livestock is determined jointly in combination of the two aspects of temperature and total amount of movement.
In one embodiment, a health monitoring model is built separately for each animal in the livestock herd, the heating temperature threshold and the total movement threshold of each animal as the target animal are determined according to the method, and the specific judgment standard is provided for each individual animal. When health monitoring is carried out on a certain target livestock, whether the target livestock is in a non-healthy state or not can be judged by the model through inputting temperature data and motion data of the target livestock into a corresponding health monitoring model. Therefore, accurate judgment of each livestock individual is realized, and the problem of inaccuracy possibly existing when the same judgment standard aims at different individuals can be avoided. The specific monitoring mode of the health monitoring model is described in the above steps 101-104, and will not be described herein.
In one embodiment, after determining that the target animal is in an unhealthy state, the unhealthy state of the target animal may be prompted. After prompting the unhealthy state of the target livestock, if the indication information of the healthy state of the target livestock is received, determining that the target livestock is in the healthy state, classifying the temperature data of the target livestock in the current time period into the historical temperature data of the target livestock, re-determining the heating temperature threshold according to the updated historical temperature data, classifying the total movement amount of the target livestock in the current time period into the historical movement data of the target livestock, and enabling the health monitoring model of the target livestock to re-determine the total movement amount threshold according to the updated historical movement data.
That is, the health condition of the target livestock can be judged not only by the health monitoring model, but also by the user, and the health condition of the target livestock can be fed back to the health monitoring model through the indication information. And, the priority of the user instruction information is higher than the judgment of the health monitoring model. For example, after the device determines that the target livestock is in a non-healthy state and reminds the user, the user checks that the target livestock is actually healthy, an indication that the target livestock is in a healthy state can be fed back to the device, and the device determines that the target livestock is healthy based on the indication when receiving the indication, and updates the health monitoring model. Therefore, on one hand, the equipment can monitor the health condition of livestock, the workload of a user is reduced, and on the other hand, the user can continuously update and correct the judgment standard of the health monitoring model through manual detection, so that the equipment can judge the health condition of livestock more accurately.
Referring to fig. 3, fig. 3 is a second flowchart of a method for monitoring livestock health according to an embodiment of the present application, where the method for monitoring livestock health may include:
A target animal to be monitored is determined 201.
Wherein the livestock can be horse, cattle, pig, chicken, duck, etc. Since the health of livestock affects the quality of the output of agricultural and agricultural products, it is necessary to monitor the health of livestock. The target livestock is the livestock determined as the monitoring object, the application does not limit the selection of the target livestock, and the target livestock can be any livestock in livestock groups.
202, The ear tag temperature of the target livestock is collected multiple times during each historical health period.
In order to monitor the health status of the target livestock, a judgment reference for whether the target livestock is healthy or not needs to be set.
In the embodiment of the application, the health state of the target livestock is judged from two aspects of temperature and total sports amount. To this end, historical temperature data of the target livestock over a plurality of historical health periods is acquired to determine a heating temperature threshold of the target livestock; historical movement data of the target animal over a plurality of historical health time periods is obtained to determine a total movement threshold of the target animal.
The historical health time period refers to a historical time period when the target livestock is in a health state, and a heating temperature threshold and a total movement threshold determined according to the historical data of the target livestock in the health state can be used as two references to help judge the current health condition of the target livestock.
Historical temperature data of the target livestock can be collected through ear tags. And each livestock in the livestock group is worn with an ear tag for acquiring temperature data, and after the target livestock to be monitored is determined, the ear tag temperature of the target livestock is acquired for a plurality of times in each historical health time period to obtain the historical temperature data of the target livestock.
203, Drawing a temperature probability distribution map according to the collected ear tag temperatures in a plurality of historical health time periods.
In an embodiment, the duration of the historical health period is a natural day, and the historical health period may also be referred to as a health day. Since the livestock animals are warm-temperature animals, the body temperature is basically controlled in a constant range, and in consideration of the influence of the data amount on calculation, the ear tag temperatures of target livestock in the last week from yesterday can be acquired for a plurality of times in each healthy day, so that a plurality of ear tag temperatures are obtained, and a temperature probability distribution diagram is drawn.
Referring to fig. 4, fig. 4 is a graph showing a temperature probability distribution of an ear tag according to an embodiment of the present application. The ear tag temperature probability distribution map is drawn by ear tag temperatures acquired by the target livestock on a plurality of past health days. The abscissa in the figure represents the ear tag temperature, and the ordinate represents the probability of corresponding ear tag temperature.
As can be seen from fig. 4, the temperature change is mainly concentrated in two areas, one near room temperature and one near normal body temperature of the livestock, which means that the temperature of the ear tag is affected by both the temperature and the body temperature of the livestock.
And 204, determining the highest ear tag temperature of the target livestock in a plurality of historical health time periods according to the temperature probability distribution map.
205, Determining the highest ear tag temperature as the heat generation temperature threshold.
From fig. 4, it can be determined that the highest ear tag temperature of the target livestock over the past several healthy days is approximately 39.5 ℃. In fig. 4, the temperature range of the ear tag fluctuates in the range of the minimum value of the room temperature and the maximum value of the body temperature in a plurality of healthy days, and if the measured temperature of the ear tag is higher than the extreme value of the body temperature of the healthy individual, the target livestock may be abnormal in temperature, and the temperature early warning is required. Thus, the highest ear tag temperature may be determined as the heat generation temperature threshold.
In an embodiment, before determining the highest ear tag temperature as the heating temperature threshold, determining an average room temperature over the plurality of historical health periods and an average body temperature of the target livestock from a peak distribution in the temperature probability distribution map; and determining the highest ear tag temperature as the heating temperature threshold when the average room temperature is lower than the average body temperature of the target livestock.
From the peak distribution in fig. 4, it can be determined that the average room temperature is approximately 18 ℃ and the livestock body temperature is approximately 36 ℃. For the case where the average room temperature is lower than the average body temperature of the target animal, it may be determined that the first peak of fig. 4 is caused by room temperature and the second peak is caused by body temperature of the animal, and thus the highest temperature in the whole graph is necessarily caused by body temperature of the target animal, the highest ear tag temperature in the graph may be determined as the heating temperature threshold.
And 206, collecting exercise total data of the target livestock in each exercise time period of each historical health time period.
Wherein each health day includes the same number of exercise periods, all of the exercise periods being the same in duration. Since livestock eat approximately 2-3 times a day, each eating period produces a certain amount of exercise, the exercise period for each health day can be set according to the eating period. For example, 6:00-9:00 per day is set to a first exercise period, 11:00-14:00 is set to a second exercise period, and 16:00-19:00 is set to a third exercise period. And respectively acquiring the total sports amount of the target livestock in the range of 6:00-9:00, the total sports amount of the target livestock in the range of 11:00-14:00 and the total sports amount of the target livestock in the range of 16:00-19:00 in each health day to obtain three total sports amount data corresponding to a single sports time period, and obtaining 3N total sports amount data in N health days.
207 Determining a total amount of motion threshold value of the target livestock based on the total amount of motion data of the target livestock in each motion period of each historical health period.
In one embodiment, the collected motion profile data is plotted as a scatter plot. Referring to fig. 5, fig. 5 is a scatter distribution diagram of total movement data according to an embodiment of the present application. Wherein the abscissa represents the acquisition time and the ordinate represents the total amount of motion corresponding to the acquisition time.
As can be seen from fig. 5, the total amount of movement of the livestock during a movement period varies approximately over a range (e.g., over the dashed line, the range of movement being greater than 8.43). If the activity of the target livestock for a period of time is lower than the range, the abnormal movement total amount data can be confirmed, and movement early warning can be carried out. Thus, the total amount of motion threshold can be determined from the distribution of the total amount of motion data in the scatter distribution chart.
Or acquiring the total movement data of the preset proportion in all the total movement data from small to large, and determining the maximum total movement data in the total movement data of the preset proportion as a total movement threshold. That is, the total amount of exercise threshold is a maximum value of less than 5% of all the total amount of exercise data.
208, The temperature of the target livestock and the total amount of movement during the current time period are obtained.
To monitor the health status of the target livestock, on the one hand, the temperature of the target livestock is obtained, and on the other hand, the total amount of movement of the target livestock in the current time period is obtained.
The method for obtaining the temperature of the target livestock and the total amount of exercise in the current time period can refer to the related description of the historical temperature data and the historical exercise data obtained in the steps 102 and 103, which are not described herein.
When the temperature of the target livestock is obtained, a real-time obtaining mode is adopted, namely the temperature of the target livestock is obtained at any time. When the total movement amount of the target livestock is acquired, a periodic polling mode is adopted, namely, firstly, the movement time period to which the current moment belongs is determined, and then, the total movement amount of the target livestock in the movement time period is acquired.
209, Determining that the target livestock is in an unhealthy state when the temperature of the target livestock is greater than a heat generation temperature threshold and/or the total amount of movement during the current time period is less than a total amount of movement threshold.
After each time the temperature of the target livestock is obtained, the temperature of the target livestock is compared with a heating temperature threshold value to determine whether the temperature of the target livestock is abnormal. And when the temperature of the target livestock is greater than the heating threshold temperature, determining that the target livestock is in an unhealthy state.
After the total movement amount of the target livestock in the current time period is obtained each time, the total movement amount of the target livestock in the current time period is compared with a total movement amount threshold value so as to determine whether the total movement amount of the target livestock is abnormal. And when the total movement amount of the target livestock in the current time period is smaller than the total movement amount threshold value, determining that the target livestock is in an unhealthy state.
It should be noted that, when the "temperature is greater than the heating temperature threshold" and the "total amount of movement is less than the total amount of movement threshold" in the current period satisfy at least one, it may be determined that the target livestock is in an unhealthy state, that is, the two determination conditions may exist in an "and/or" manner, so that the healthy state of the target livestock is determined jointly in combination of the two aspects of temperature and total amount of movement.
In one embodiment, a health monitoring model is built separately for each animal in the livestock herd, the heating temperature threshold and the total movement threshold of each animal as the target animal are determined according to the method, and the specific judgment standard is provided for each individual animal. When health monitoring is carried out on a certain target livestock, whether the target livestock is in a non-healthy state or not can be judged by the model through inputting temperature data and motion data of the target livestock into a corresponding health monitoring model. Therefore, accurate judgment of each livestock individual is realized, and the problem of inaccuracy possibly existing when the same judgment standard aims at different individuals can be avoided. The specific monitoring mode of the health monitoring model is described in the above steps 101-104, and will not be described herein.
In one embodiment, after determining that the target animal is in an unhealthy state, the unhealthy state of the target animal may be prompted. After prompting the unhealthy state of the target livestock, if the indication information of the healthy state of the target livestock is received, determining that the target livestock is in the healthy state, classifying the temperature data of the target livestock in the current time period into the historical temperature data of the target livestock, re-determining the heating temperature threshold according to the updated historical temperature data, classifying the total movement amount of the target livestock in the current time period into the historical movement data of the target livestock, and enabling the health monitoring model of the target livestock to re-determine the total movement amount threshold according to the updated historical movement data.
That is, the health condition of the target livestock can be judged not only by the health monitoring model, but also by the user, and the health condition of the target livestock can be fed back to the health monitoring model through the indication information. And, the priority of the user instruction information is higher than the judgment of the health monitoring model. For example, after the device determines that the target livestock is in a non-healthy state and reminds the user, the user checks that the target livestock is actually healthy, an indication that the target livestock is in a healthy state can be fed back to the device, and the device determines that the target livestock is healthy based on the indication when receiving the indication, and updates the health monitoring model. Therefore, on one hand, the equipment can monitor the health condition of livestock, the workload of a user is reduced, and on the other hand, the user can continuously update and correct the judgment standard of the health monitoring model through manual detection, so that the equipment can judge the health condition of livestock more accurately.
As can be seen from the above, the method for monitoring livestock health provided by the embodiment of the present application first determines a target livestock to be monitored; determining a heating temperature threshold of the target livestock according to historical temperature data of the target livestock in a plurality of historical health time periods; determining a total amount of motion threshold for the target livestock based on historical motion data of the target livestock over a plurality of historical health time periods; then acquiring the temperature of the target livestock and the total movement amount in the current time period; and when the temperature of the target livestock is greater than the heating temperature threshold value and/or the total movement amount in the current time period is less than the total movement amount threshold value, determining that the target livestock is in an unhealthy state. According to the embodiment of the application, the heating temperature threshold value and the total movement amount threshold value of the livestock are obtained according to the historical data of the livestock individuals, and whether the livestock are healthy or not can be judged by comparing the current temperature with the heating temperature threshold value of the livestock and comparing the total movement amount of the current time period with the total movement amount threshold value of the livestock, so that the health state of the livestock can be monitored in real time.
Referring to fig. 6, fig. 6 is a schematic structural diagram of a livestock health monitoring device according to an embodiment of the application. The livestock health monitoring apparatus 300 may include: the first determining module 301, the second determining module 302, the third determining module 303, the obtaining module 304 and the fourth determining module 305.
A first determining module 301, configured to determine a target livestock to be monitored;
a second determining module 302 for determining a heating temperature threshold of the target livestock based on historical temperature data of the target livestock over a plurality of historical health periods;
A third determining module 303 for determining a total amount of motion threshold of the target animal based on historical motion data of the target animal over the plurality of historical health periods;
an acquisition module 304 for acquiring the temperature of the target livestock and the total amount of movement in the current time period;
a fourth determining module 305 is configured to determine that the target livestock is in an unhealthy state when the temperature of the target livestock is greater than the heat generating temperature threshold and/or the total amount of motion during the current time period is less than the total amount of motion threshold.
In some embodiments, the target animal is worn with an ear tag for collecting temperature data, the temperature data comprising an ear tag temperature of the animal, the second determination module 302 may be configured to, when determining the heat generation temperature threshold of the target animal from historical temperature data of the target animal over a plurality of historical health periods:
Collecting ear tag temperatures of the target livestock for multiple times in each historical health period;
drawing a temperature probability distribution map according to the collected ear tag temperatures in a plurality of historical health time periods;
determining a highest ear tag temperature of the target livestock in the plurality of historical health time periods according to the temperature probability distribution map;
and determining the highest ear tag temperature as the heating temperature threshold.
In an embodiment, when determining the highest ear tag temperature as the heat generation temperature threshold, the second determining module 302 may be configured to:
Determining an average room temperature over the plurality of historical health periods and an average body temperature of the target livestock from peak distribution in the temperature probability distribution map;
and determining the highest ear tag temperature as the heating temperature threshold when the average room temperature is lower than the average body temperature of the target livestock.
In an embodiment, the current time period is a movement time period, each historical health time period includes a plurality of movement time periods with the same number, and all movement time periods have the same duration, and when determining the movement total amount threshold of the target livestock according to the historical movement data of the target livestock in the plurality of historical health time periods, the third determining module 303 may be configured to:
collecting exercise total data of the target livestock in each exercise time period of each historical health time period;
And determining a total movement threshold of the target livestock according to the total movement data of the target livestock in each movement time period of each historical health time period.
In an embodiment, when determining the threshold total amount of exercise for the target livestock from the total amount of exercise data for each exercise period of the target livestock for each historical health period, the third determining module 303 may be configured to:
acquiring the total movement data of a preset proportion in all the total movement data from small to large;
And determining the maximum total movement data in the total movement data of the preset proportion as the total movement threshold.
With continued reference to fig. 7, fig. 7 is a schematic diagram of a second structure of the livestock health monitoring apparatus according to the embodiment of the application. In an embodiment, the livestock health monitoring apparatus 300 may further include a prompt module 306 and a fifth determination module 307:
a prompting module 306, configured to prompt the unhealthy status of the target livestock;
a fifth determining module 307 is configured to determine that the target livestock is in a healthy state if the indication that the target livestock is in a healthy state is received.
With continued reference to fig. 6, in an embodiment, the livestock health monitoring apparatus 300 may further include a sixth determination module 308 and a seventh determination module 309:
A sixth determining module 308, configured to attribute the temperature of the target livestock to historical temperature data of the target livestock, so as to redetermine the heating temperature threshold according to the updated historical temperature data;
A seventh determining module 309 is configured to attribute the total amount of movement of the target livestock in the current time period to historical movement data of the target livestock, so as to redetermine the total amount of movement threshold according to the updated historical movement data.
As can be seen from the above, in the livestock health monitoring device provided by the embodiment of the present application, the first determining module 301 determines the target livestock to be monitored; a second determination module 302 determines a heat-emitting temperature threshold of the target animal based on historical temperature data of the target animal over a plurality of historical health periods; a third determination module 303 determines a total amount of motion threshold for the target animal based on historical motion data of the target animal over the plurality of historical health periods; the acquisition module 304 then acquires the temperature of the target livestock and the total amount of movement in the current time period; the fourth determination module 305 determines that the target animal is in an unhealthy state when the temperature of the target animal is greater than the heat-generating temperature threshold and/or the total amount of motion during the current time period is less than the total amount of motion threshold. According to the embodiment of the application, the heating temperature threshold value and the total movement amount threshold value of the livestock are obtained according to the historical data of the livestock individuals, and whether the livestock are healthy or not can be judged by comparing the current temperature with the heating temperature threshold value of the livestock and comparing the total movement amount of the current time period with the total movement amount threshold value of the livestock, so that the health state of the livestock can be monitored in real time.
An embodiment of the present application provides a computer-readable storage medium having stored thereon a computer program which, when executed on a computer, causes the computer to perform the flow in the livestock health monitoring method as provided in the present embodiment.
The embodiment of the application also provides electronic equipment, which comprises a memory and a processor, wherein the processor is used for executing the flow in the livestock health monitoring method provided by the embodiment by calling the computer program stored in the memory.
For example, the electronic device may be a terminal or a server. The terminal can be a terminal device such as a smart phone, a tablet Personal computer, a notebook computer, a Personal computer (PC, personal Computer), a Personal digital assistant (Personal DIGITAL ASSISTANT, PDA), etc., and the server can be an independent physical server, can be a server cluster or a distributed system formed by a plurality of physical servers, and can also be a cloud server for providing cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communication, middleware services, domain name services, security services, CDNs, basic cloud computing services such as big data and artificial intelligent platforms, etc.
Referring to fig. 8, fig. 8 is a schematic structural diagram of an electronic device according to an embodiment of the application. The electronic device 400 may include memory 401, a processor 402, and the like. It will be appreciated by those skilled in the art that the electronic device structure shown in fig. 8 is not limiting of the electronic device and may include more or fewer components than shown, or may combine certain components, or a different arrangement of components.
Memory 401 may be used to store applications and data. The memory 401 stores an application program including executable code. Applications may constitute various functional modules. The processor 402 executes various functional applications and data processing by running application programs stored in the memory 401.
The processor 402 is a control center of the electronic device, connects various parts of the entire electronic device using various interfaces and lines, and performs various functions of the electronic device and processes data by running or executing application programs stored in the memory 401 and calling data stored in the memory 401, thereby performing overall monitoring of the electronic device.
In this embodiment, the processor 402 in the electronic device loads executable codes corresponding to the processes of one or more application programs into the memory 401 according to the following instructions, and the processor 402 executes the application programs stored in the memory 401, so as to implement the flow:
determining target livestock to be monitored;
determining a heating temperature threshold of the target livestock according to historical temperature data of the target livestock in a plurality of historical health time periods;
Determining a total amount of motion threshold for the target animal based on historical motion data of the target animal over the plurality of historical health periods;
acquiring the temperature of the target livestock and the total movement amount in the current time period;
And when the temperature of the target livestock is greater than the heating temperature threshold value and/or the total movement amount in the current time period is less than the total movement amount threshold value, determining that the target livestock is in an unhealthy state.
Referring to fig. 9, an electronic device 400 may include a memory 401, a processor 402, an input unit 403, an output unit 404, a display 405, and the like.
Memory 401 may be used to store applications and data. The memory 401 stores an application program including executable code. Applications may constitute various functional modules. The processor 402 executes various functional applications and data processing by running application programs stored in the memory 401.
The processor 402 is a control center of the electronic device, connects various parts of the entire electronic device using various interfaces and lines, and performs various functions of the electronic device and processes data by running or executing application programs stored in the memory 401 and calling data stored in the memory 401, thereby performing overall monitoring of the electronic device.
The input unit 403 may be used to receive input numbers, character information or user characteristic information, such as a fingerprint, and to generate keyboard, mouse, joystick, optical or trackball signal inputs in connection with user settings and function control.
The output unit 404 may be used to display information entered by a user or provided to a user as well as various graphical user interfaces of the electronic device, which may be composed of graphics, text, icons, video, and any combination thereof. The output unit may include a display panel.
In this embodiment, the processor 402 in the electronic device loads executable codes corresponding to the processes of one or more application programs into the memory 401 according to the following instructions, and the processor 402 executes the application programs stored in the memory 401, so as to implement the flow:
determining target livestock to be monitored;
determining a heating temperature threshold of the target livestock according to historical temperature data of the target livestock in a plurality of historical health time periods;
Determining a total amount of motion threshold for the target animal based on historical motion data of the target animal over the plurality of historical health periods;
acquiring the temperature of the target livestock and the total movement amount in the current time period;
And when the temperature of the target livestock is greater than the heating temperature threshold value and/or the total movement amount in the current time period is less than the total movement amount threshold value, determining that the target livestock is in an unhealthy state.
In some embodiments, the target animal is worn with an ear tag for collecting temperature data, the temperature data comprising an ear tag temperature of the animal, the processor 402 performs:
Collecting ear tag temperatures of the target livestock for multiple times in each historical health period;
drawing a temperature probability distribution map according to the collected ear tag temperatures in a plurality of historical health time periods;
determining a highest ear tag temperature of the target livestock in the plurality of historical health time periods according to the temperature probability distribution map;
and determining the highest ear tag temperature as the heating temperature threshold.
In one embodiment, in determining the highest ear tag temperature as the heat generation temperature threshold, the processor 402 performs:
Determining an average room temperature over the plurality of historical health periods and an average body temperature of the target livestock from peak distribution in the temperature probability distribution map;
and determining the highest ear tag temperature as the heating temperature threshold when the average room temperature is lower than the average body temperature of the target livestock.
In an embodiment, the current time period is a movement time period, each historical health time period includes a same number of a plurality of movement time periods, all movement time periods have a same duration, and the processor 402 performs:
collecting exercise total data of the target livestock in each exercise time period of each historical health time period;
And determining a total movement threshold of the target livestock according to the total movement data of the target livestock in each movement time period of each historical health time period.
In one embodiment, in determining the total amount of exercise threshold for the target animal from the total amount of exercise data for each exercise session for each historical health session for the target animal, the processor 402 performs:
acquiring the total movement data of a preset proportion in all the total movement data from small to large;
And determining the maximum total movement data in the total movement data of the preset proportion as the total movement threshold.
In one embodiment, after determining that the target livestock is in an unhealthy state, the processor 402 performs:
prompting the unhealthy state of the target livestock;
and if the indication information of the healthy state of the target livestock is received, determining that the healthy state of the target livestock is achieved.
In one embodiment, after determining that the target livestock is in a healthy state, the processor 402 performs:
classifying the temperature of the target livestock into historical temperature data of the target livestock so as to redetermine the heating temperature threshold according to the updated historical temperature data;
and classifying the total movement amount of the target livestock in the current time period into historical movement data of the target livestock, so as to redetermine the total movement amount threshold according to the updated historical movement data.
From the above, the electronic device provided by the embodiment of the present application first determines the target livestock to be monitored; determining a heating temperature threshold of the target livestock according to historical temperature data of the target livestock in a plurality of historical health time periods; determining a total amount of motion threshold for the target animal based on historical motion data of the target animal over the plurality of historical health periods; then acquiring the temperature of the target livestock and the total movement amount in the current time period; and when the temperature of the target livestock is greater than the heating temperature threshold value and/or the total movement amount in the current time period is less than the total movement amount threshold value, determining that the target livestock is in an unhealthy state. According to the embodiment of the application, the heating temperature threshold value and the total movement amount threshold value of the livestock are obtained according to the historical data of the livestock individuals, and whether the livestock are healthy or not can be judged by comparing the current temperature with the heating temperature threshold value of the livestock and comparing the total movement amount of the current time period with the total movement amount threshold value of the livestock, so that the health state of the livestock can be monitored in real time.
In the foregoing embodiments, the descriptions of the embodiments are focused on, and for those portions of an embodiment that are not described in detail, reference may be made to the foregoing detailed description of the livestock health monitoring method, which is not repeated herein.
It should be noted that, for the livestock health monitoring method according to the embodiment of the present application, it will be understood by those skilled in the art that all or part of the process of implementing the livestock health monitoring method according to the embodiment of the present application may be implemented by controlling related hardware through a computer program, where the computer program may be stored in a computer readable storage medium, such as a memory, and executed by at least one processor, and the execution may include, for example, the process of implementing the embodiment of the livestock health monitoring method. The storage medium may be a magnetic disk, an optical disk, a Read Only Memory (ROM), a random access Memory (RAM, random Access Memory), or the like.
For the livestock health monitoring device of the embodiment of the application, each functional module can be integrated in one processing chip, each module can exist alone physically, and two or more modules can be integrated in one module. The integrated modules may be implemented in hardware or in software functional modules. The integrated modules, if implemented as software functional modules and sold or used as a stand-alone product, may also be stored on a computer readable storage medium such as read-only memory, magnetic or optical disk, etc.
The method, the device, the storage medium and the electronic equipment for monitoring livestock health provided by the embodiment of the application are described in detail, and specific examples are applied to the description of the principle and the implementation mode of the application, and the description of the above embodiments is only used for helping to understand the method and the core idea of the application; meanwhile, as those skilled in the art will vary in the specific embodiments and application scope according to the ideas of the present application, the present description should not be construed as limiting the present application in summary.
Claims (6)
1. A method for monitoring livestock health, comprising:
Determining a target livestock to be monitored, wherein the target livestock are worn with earmarks for acquiring temperature data, and the temperature data comprise the temperature of the earmarks of the livestock;
Collecting ear tag temperatures of the target livestock for multiple times in each historical health period;
Drawing a temperature probability distribution diagram according to the collected ear tag temperatures in a plurality of historical health time periods, wherein the temperature probability distribution diagram comprises two wave peaks;
determining a highest ear tag temperature of the target livestock in the plurality of historical health time periods according to the temperature probability distribution map;
Determining an average room temperature over the plurality of historical health periods and an average body temperature of the target livestock from peak distribution in the temperature probability distribution map;
Determining the highest ear tag temperature as a heat generation temperature threshold when the average room temperature is below an average body temperature of the target livestock;
collecting exercise total amount data of the target livestock in each exercise time period of each historical health time period, wherein each historical health time period comprises a plurality of exercise time periods with the same quantity, and the duration of all exercise time periods is the same;
Determining a total amount of motion threshold of the target livestock according to the total amount of motion data of the target livestock in each motion time period of each historical health time period, wherein the process of determining the total amount of motion threshold of the target livestock comprises the following steps: acquiring the total movement data of a preset proportion in all the total movement data from small to large, and determining the maximum total movement data in the total movement data of the preset proportion as the total movement threshold;
Acquiring the temperature of the target livestock and the total movement amount in a current time period, wherein the current time period is a movement time period;
And when the temperature of the target livestock is greater than the heating temperature threshold value and/or the total movement amount in the current time period is less than the total movement amount threshold value, determining that the target livestock is in an unhealthy state.
2. The method of animal health monitoring according to claim 1, wherein after said determining that the target animal is in an unhealthy state, further comprising:
prompting the unhealthy state of the target livestock;
and if the indication information of the healthy state of the target livestock is received, determining that the healthy state of the target livestock is achieved.
3. The method of animal health monitoring according to claim 2, wherein after said determining that the target animal is in a healthy state, further comprising:
classifying the temperature of the target livestock into historical temperature data of the target livestock so as to redetermine the heating temperature threshold according to the updated historical temperature data;
and classifying the total movement amount of the target livestock in the current time period into historical movement data of the target livestock, so as to redetermine the total movement amount threshold according to the updated historical movement data.
4. A livestock health monitoring device, characterized in that a livestock health monitoring method as claimed in any one of claims 1 to 3 is employed, comprising:
the first determining module is used for determining target livestock to be monitored, the target livestock are worn with earmarks for acquiring temperature data, and the temperature data comprise the temperature of the earmarks of the livestock;
The second determining module is used for collecting the ear tag temperature of the target livestock for a plurality of times in each historical health time period; drawing a temperature probability distribution diagram according to the collected ear tag temperatures in a plurality of historical health time periods, wherein the temperature probability distribution diagram comprises two wave peaks; determining a highest ear tag temperature of the target livestock in the plurality of historical health time periods according to the temperature probability distribution map; determining an average room temperature over the plurality of historical health periods and an average body temperature of the target livestock from peak distribution in the temperature probability distribution map; determining the highest ear tag temperature as a heat generation temperature threshold when the average room temperature is below an average body temperature of the target livestock;
A third determining module, configured to collect exercise total amount data of the target livestock in each exercise time period of each historical health time period, where each historical health time period includes a plurality of exercise time periods with the same number, and duration of all exercise time periods is the same; determining a total amount of motion threshold of the target livestock according to the total amount of motion data of the target livestock in each motion time period of each historical health time period, wherein the process of determining the total amount of motion threshold of the target livestock comprises the following steps: acquiring the total movement data of a preset proportion in all the total movement data from small to large, and determining the maximum total movement data in the total movement data of the preset proportion as the total movement threshold;
The acquisition module is used for acquiring the temperature of the target livestock and the total movement amount in the current time period, wherein the current time period is a movement time period;
And a fourth determining module, configured to determine that the target livestock is in an unhealthy state when the temperature of the target livestock is greater than the heating temperature threshold and/or the total amount of motion in the current time period is less than the total amount of motion threshold.
5. A storage medium having stored therein a computer program which, when run on a computer, causes the computer to perform the steps of the livestock health monitoring method as claimed in any of claims 1 to 3.
6. An electronic device, comprising: a processor and a memory, said memory having stored therein a computer program, said processor performing the steps of the livestock health monitoring method of any of claims 1 to 3 by invoking said computer program stored in said memory.
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Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103034154A (en) * | 2012-12-24 | 2013-04-10 | 北京智威宇讯科技有限公司 | Livestock temperature management system and livestock temperature correction method |
| CN108617533A (en) * | 2018-04-17 | 2018-10-09 | 青岛章鱼哥信息科技有限公司 | Herding monitoring method, device and ear tag based on ear tag monitor system |
| CN108931287A (en) * | 2018-05-07 | 2018-12-04 | 伊犁哈萨克自治州畜牧总站（伊犁哈萨克自治州畜牧科学研究所） | A kind of livestock growth conditions measurement method |
| CN110755087A (en) * | 2019-11-04 | 2020-02-07 | 东北农业大学 | Live pig health monitoring device based on multisensor |
Family Cites Families (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CH560384A5 (en) * | 1973-06-01 | 1975-03-27 | Jac Inc | |
| FR2233971B1 (en) * | 1973-06-21 | 1976-09-17 | Jac Inc | |
| US9538729B2 (en) * | 2014-04-08 | 2017-01-10 | Medisim, Ltd. | Cattle monitoring for illness |
-
2021
- 2021-04-15 CN CN202110405010.3A patent/CN115211386B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103034154A (en) * | 2012-12-24 | 2013-04-10 | 北京智威宇讯科技有限公司 | Livestock temperature management system and livestock temperature correction method |
| CN108617533A (en) * | 2018-04-17 | 2018-10-09 | 青岛章鱼哥信息科技有限公司 | Herding monitoring method, device and ear tag based on ear tag monitor system |
| CN108931287A (en) * | 2018-05-07 | 2018-12-04 | 伊犁哈萨克自治州畜牧总站（伊犁哈萨克自治州畜牧科学研究所） | A kind of livestock growth conditions measurement method |
| CN110755087A (en) * | 2019-11-04 | 2020-02-07 | 东北农业大学 | Live pig health monitoring device based on multisensor |
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